-
Notifications
You must be signed in to change notification settings - Fork 0
/
visualising-deep-neural-networks.bbl
402 lines (332 loc) · 19.8 KB
/
visualising-deep-neural-networks.bbl
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
\begin{thebibliography}{xx}
\harvarditem[Adams et~al.]{Adams, Gorman \harvardand\ Perlich}{2015}{Adams2015}
Adams, R., Gorman, K. \harvardand\ Perlich, C. \harvardyearleft
2015\harvardyearright , `{Working With Data and Machine Learning in
Advertising}', {\em Talking Machines Podcasts} {\bf 13}.
\harvarditem[Ankerst et~al.]{Ankerst, Elsen, Ester \harvardand\
Kriegel}{1999}{Ankerst1999}
Ankerst, M., Elsen, C., Ester, M. \harvardand\ Kriegel, H.-P. \harvardyearleft
1999\harvardyearright , `{Visual classification: an interactive approach to
decision tree construction}', {\em Training} {\bf 1},~392--396.
\newline\harvardurl{http://www.dbs.informatik.uni-muenchen.de/Publikationen/Papers/Kdd-99.final.pdf}
\harvarditem{a.T.C. Goh}{1995}{Goh1995}
a.T.C. Goh \harvardyearleft 1995\harvardyearright , `{Back-propagation neural
networks for modeling complex systems}', {\em Artificial Intelligence in
Engineering} {\bf 9}(3),~143--151.
\harvarditem[Becker et~al.]{Becker, Kohavi \harvardand\
Sommerfield}{2001}{Becker2001}
Becker, B., Kohavi, R. \harvardand\ Sommerfield, D. \harvardyearleft
2001\harvardyearright , `{Visualizing the simple Bayesian classifier}', {\em
Information visualization in data mining and knowledge discovery} {\bf
18},~237--249.
\newline\harvardurl{http://books.google.com/books?hl=en\&lr=\&id=2gSZv1fikJoC\&oi=fnd\&pg=PA237\&dq=Visualizing+the+Simple+Bayesian+Classifier\&ots=THFPUgGO1-\&sig=j1S-ESo9o\_vC00W-4gV-Acay6Go}
\harvarditem{Belkin \harvardand\ Niyogi}{2002}{Belkin2002}
Belkin, M. \harvardand\ Niyogi, P. \harvardyearleft 2002\harvardyearright ,
`{Laplacian Eigenmaps and spectral techniques for embedding and clustering}'.
\harvarditem[Bergstra et~al.]{Bergstra, Yamins \harvardand\
Cox}{2013}{Bergstra2013}
Bergstra, J., Yamins, D. \harvardand\ Cox, D. \harvardyearleft
2013\harvardyearright , `{Making a science of model search: Hyperparameter
optimization in hundreds of dimensions for vision architectures}', {\em
Proceedings of the 30th International Conference on Machine Learning}
pp.~115--123.
\newline\harvardurl{http://jmlr.org/proceedings/papers/v28/bergstra13.html}
\harvarditem[Bernd et~al.]{Bernd, Kleutges \harvardand\ Kroll}{1999}{Bernd1999}
Bernd, T., Kleutges, M. \harvardand\ Kroll, A. \harvardyearleft
1999\harvardyearright , `{Nonlinear Black Box Modelling – Fuzzy Networks
versus Neural Networks}', {\em Neural Computing \& Applications} {\bf Volume
8,}.
\harvarditem{Blank}{2013}{Blank2013}
Blank, S. \harvardyearleft 2013\harvardyearright , `{Why the lean-startup
changes everything}', {\em Harvard Business Review} .
\newline\harvardurl{https://hbr.org/2013/05/why-the-lean-start-up-changes-everything}
\harvarditem[Bostock et~al.]{Bostock, Heer \harvardand\
Ogievetsky}{2011}{Bostock2011a}
Bostock, M., Heer, J. \harvardand\ Ogievetsky, V. \harvardyearleft
2011\harvardyearright , `{D3.js - Data-Driven Documents}'.
\newline\harvardurl{http://d3js.org/}
\harvarditem{Bruna \harvardand\ Polytechnique}{2012}{Bruna2012}
Bruna, J. \harvardand\ Polytechnique, E. \harvardyearleft
2012\harvardyearright , `{Invariant Scattering Convolution Networks ´}',
pp.~1--15.
\harvarditem{Burkhard}{2004}{Burkhard2004}
Burkhard, R. \harvardyearleft 2004\harvardyearright , `{Learning from
architects: the difference between knowledge visualization and information
visualization}', {\em Proceedings. Eighth International Conference on
Information Visualisation, 2004. IV 2004.} .
\harvarditem[Caragea et~al.]{Caragea, Cook \harvardand\
Honavar}{2001}{Caragea2001}
Caragea, D., Cook, D. \harvardand\ Honavar, V. \harvardyearleft
2001\harvardyearright , `{Gaining Insights into Support Vector Machine
Pattern Classifiers Using Projection-Based Tour Methods}', {\em Proceedings
of the KDD Conference} pp.~251--256.
\harvarditem[Card et~al.]{Card, Mackinlay \harvardand\
Shneiderman}{1999}{card1999}
Card, S.~K., Mackinlay, J. \harvardand\ Shneiderman, B. \harvardyearleft
1999\harvardyearright , `{Information Visualization}', {\em Readings in
Information Visualization: Using Vision to Think} pp.~1--34.
\harvarditem{Chernoff}{1973}{Chernoff1973}
Chernoff, H. \harvardyearleft 1973\harvardyearright , `{The use of faces to
represent points in k-dimensional space graphically.}', {\em Journal of the
American Statistical Association} {\bf 68}(342),~361--368.
\harvarditem{Choi \harvardand\ Horowitz}{2005}{Choi2005}
Choi, J. C.~J. \harvardand\ Horowitz, R. \harvardyearleft
2005\harvardyearright , `{Topology preserving neural networks that achieve a
prescribed feature map probability density distribution}', {\em Proceedings
of the 2005, American Control Conference, 2005.} pp.~1343--1350.
\harvarditem{Craven \harvardand\ Shavlik}{1992}{Craven1992}
Craven, M.~W. \harvardand\ Shavlik, J.~W. \harvardyearleft
1992\harvardyearright , `{Visualizing Learning and Computation in Artificial
Neural Networks}', {\em International Journal on Artificial Intelligence
Tools} {\bf 01}(03),~399--425.
\harvarditem[Cristina et~al.]{Cristina, Oliveira \harvardand\
Levkowitz}{2003}{Cristina2003}
Cristina, M., Oliveira, F.~D. \harvardand\ Levkowitz, H. \harvardyearleft
2003\harvardyearright , `{From Visual Data Exploration to Visual Data Mining
: A Survey}', {\bf 9}(3),~378--394.
\harvarditem{Dahl}{2009}{Dahl2009}
Dahl, R. \harvardyearleft 2009\harvardyearright , `{Node.js}'.
\newline\harvardurl{https://nodejs.org/}
\harvarditem{Dai \harvardand\ Cheng}{2008}{Dai2008}
Dai, J. \harvardand\ Cheng, J. \harvardyearleft 2008\harvardyearright ,
`{HMMEditor: a visual editing tool for profile hidden Markov model.}', {\em
BMC genomics} {\bf 9 Suppl 1},~S8.
\harvarditem[DeFanti et~al.]{DeFanti, Brown \harvardand\
McCormick}{1989}{DeFanti1989}
DeFanti, T.~a., Brown, M.~D. \harvardand\ McCormick, B.~H. \harvardyearleft
1989\harvardyearright , `{Visualization: expanding scientific and engineering
research opportunities}', {\em Computer Graphics and Applications, IEEE} {\bf
22}(8),~12--16.
\harvarditem{Demartines \harvardand\ Herault}{1995}{Demartines1995}
Demartines, P. \harvardand\ Herault, J. \harvardyearleft 1995\harvardyearright
, `{CCA : Curvilinear Component Analysis " 1 Introduction 2 Algorithm}', {\em
Kybernetik} pp.~1--4.
\harvarditem[Duchi et~al.]{Duchi, Hazan \harvardand\ Singer}{2011}{Duchi2011}
Duchi, J., Hazan, E. \harvardand\ Singer, Y. \harvardyearleft
2011\harvardyearright , `{Adaptive Subgradient Methods for Online Learning
and Stochastic Optimization}', {\em Journal of Machine Learning Research}
{\bf 12},~2121--2159.
\newline\harvardurl{http://jmlr.org/papers/v12/duchi11a.html}
\harvarditem[Erhan et~al.]{Erhan, Bengio, Courville \harvardand\
Vincent}{2009}{Erhan2009}
Erhan, D., Bengio, Y., Courville, A. \harvardand\ Vincent, P. \harvardyearleft
2009\harvardyearright , `{Visualizing higher-layer features of a deep
network}', {\em Bernoulli} (1341),~1--13.
\newline\harvardurl{http://igva2012.wikispaces.asu.edu/file/view/Erhan+2009+Visualizing+higher+layer+features+of+a+deep+network.pdf}
\harvarditem{Garson}{1991}{Garson1991}
Garson, G.~D. \harvardyearleft 1991\harvardyearright , `{Interpreting
Neural-network Connection Weights}', {\em AI Expert} {\bf 6}(4),~46--51.
\newline\harvardurl{http://dl.acm.org/citation.cfm?id=129449.129452}
\harvarditem{Graves \harvardand\ Jaitly}{2014}{Graves2014}
Graves, A. \harvardand\ Jaitly, N. \harvardyearleft 2014\harvardyearright ,
`{Towards End-To-End Speech Recognition with Recurrent Neural Networks}',
{\em JMLR Workshop and Conference Proceedings} {\bf 32}(1),~1764--1772.
\newline\harvardurl{http://jmlr.org/proceedings/papers/v32/graves14.pdf}
\harvarditem{Hinton}{1986}{Hinton1986}
Hinton, G.~E. \harvardyearleft 1986\harvardyearright , `{Learning distributed
representations of concepts}'.
\newline\harvardurl{http://www.cogsci.ucsd.edu/~ajyu/Teaching/Cogs202\_sp13/Readings/hinton86.pdf}
\harvarditem[Hinton et~al.]{Hinton, Srivastava, Krizhevsky, Sutskever
\harvardand\ Salakhutdinov}{2012}{Hinton2012}
Hinton, G.~E., Srivastava, N., Krizhevsky, A., Sutskever, I. \harvardand\
Salakhutdinov, R.~R. \harvardyearleft 2012\harvardyearright , `{Improving
neural networks by preventing co-adaptation of feature detectors}', {\em
arXiv: 1207.0580} pp.~1--18.
\newline\harvardurl{http://arxiv.org/abs/1207.0580}
\harvarditem{Hinton \harvardand\ Roweis}{2002}{Hinton2002}
Hinton, G. \harvardand\ Roweis, S. \harvardyearleft 2002\harvardyearright ,
`{Stochastic Neighbor Embedding}'.
\harvarditem{Hoffman}{1999}{Hoffman1999}
Hoffman, P. \harvardyearleft 1999\harvardyearright , `{Table Visualization: A
formal model and its applications}'.
\harvarditem{Hotelling}{1933}{Hotelling33}
Hotelling, H. \harvardyearleft 1933\harvardyearright , `{Analysis of a complex
of statistical variables into principal components}', {\em J. Educ. Psych.}
{\bf 24}.
\harvarditem[Jarrett et~al.]{Jarrett, Kavukcuoglu, Ranzato \harvardand\
LeCun}{2009}{Jarrett2009}
Jarrett, K., Kavukcuoglu, K., Ranzato, M. \harvardand\ LeCun, Y.
\harvardyearleft 2009\harvardyearright , `{What is the best multi-stage
architecture for object recognition?}', {\em Proceedings of the IEEE
International Conference on Computer Vision} pp.~2146--2153.
\harvarditem{Keim}{2000}{Keim2000}
Keim, D.~A. \harvardyearleft 2000\harvardyearright , `{Designing
Pixel-Oriented Visualization Techniques : Theory and Applications}', {\bf
6}(1),~1--20.
\harvarditem{Keim}{2002}{Keim2002}
Keim, D.~a. \harvardyearleft 2002\harvardyearright , `{Information
visualization and visual data mining}', {\em IEEE Trans Vis Comput Graph}
{\bf 8}(1),~1--8.
\harvarditem[Krizhevsky et~al.]{Krizhevsky, Sutskever \harvardand\
Hinton}{2012}{Krizhevsky2012}
Krizhevsky, a., Sutskever, I. \harvardand\ Hinton, G. \harvardyearleft
2012\harvardyearright , `{Imagenet classification with deep convolutional
neural networks}', {\em Advances in neural information processing systems}
pp.~1097--1105.
\harvarditem[Le et~al.]{Le, Ngiam, Chen, Chia, Koh \harvardand\
Ng}{2010}{Le2010}
Le, Q.~V., Ngiam, J., Chen, Z., Chia, D., Koh, P.~W. \harvardand\ Ng, A.~Y.
\harvardyearleft 2010\harvardyearright , `{Tiled convolutional neural
networks}', {\em Advances in Neural Information Processing Systems 23}
pp.~1279--1287.
\harvarditem[LeCun et~al.]{LeCun, Boser, Denker, Henderson, Howard, Hubbard
\harvardand\ Jackel}{1989}{LeCun1989}
LeCun, Y., Boser, B., Denker, J.~S., Henderson, D., Howard, R.~E., Hubbard, W.
\harvardand\ Jackel, L.~D. \harvardyearleft 1989\harvardyearright ,
`{Backpropagation Applied to Handwritten Zip Code Recognition}'.
\harvarditem[LeCun et~al.]{LeCun, Bottou, Bengio \harvardand\
Haffner}{1998}{LeCun1998}
LeCun, Y., Bottou, L., Bengio, Y. \harvardand\ Haffner, P. \harvardyearleft
1998\harvardyearright , `{Gradient-based learning applied to document
recognition}', {\em Proceedings of the IEEE} {\bf 86}(11),~2278--2323.
\harvarditem{Lin}{2010}{Lin2010}
Lin, Z. \harvardyearleft 2010\harvardyearright , `{PCA vs. Varimax rotation}',
(table 3),~1--5.
\harvarditem{Maaten \harvardand\ Hinton}{2008}{Maaten2008}
Maaten, L. V.~D. \harvardand\ Hinton, G. \harvardyearleft
2008\harvardyearright , `{Visualizing Data using t-SNE}', {\em Journal of
Machine Learning Research} {\bf 9},~2579--2605.
\harvarditem[McCormick et~al.]{McCormick, DeFanti \harvardand\
Brown}{1987}{McCormick1987}
McCormick, B.~H., DeFanti, T.~a. \harvardand\ Brown, M.~D. \harvardyearleft
1987\harvardyearright , `{Visualization in Scientific Computing}'.
\newline\harvardurl{http://www.cogsci.ucsd.edu/~ajyu/Teaching/Cogs202\_sp13/Readings/hinton86.pdf}
\harvarditem[Mordvintsev et~al.]{Mordvintsev, Olah \harvardand\
Tyka}{2015}{Mordvintsev2015}
Mordvintsev, A., Olah, C. \harvardand\ Tyka, M. \harvardyearleft
2015\harvardyearright , `{Inceptionism - going deeper into neural networks}',
{\em Google Research} .
\newline\harvardurl{http://googleresearch.blogspot.co.uk/2015/06/inceptionism-going-deeper-into-neural.html}
\harvarditem{Munro}{1992}{Munro1992}
Munro, P. \harvardyearleft 1992\harvardyearright , `{Visualizations of 2-D
hidden unit space}', {\em [Proceedings 1992] IJCNN International Joint
Conference on Neural Networks} {\bf 3},~468--473.
\harvarditem{Nielsen}{n.d.}{Nielsen}
Nielsen, M. \harvardyearleft n.d.\harvardyearright , `{Why are deep neural
networks hard to train?}'.
\newline\harvardurl{http://neuralnetworksanddeeplearning.com/chap5.html}
\harvarditem[Norouzi et~al.]{Norouzi, Mikolov, Bengio, Singer \harvardand\
Mar}{2014}{Norouzi2014}
Norouzi, M., Mikolov, T., Bengio, S., Singer, Y. \harvardand\ Mar, L.~G.
\harvardyearleft 2014\harvardyearright , `{Zero-Shot Learning by Convex
Combination of Semantic Embeddings}', {\em ArXiV} pp.~1--9.
\harvarditem{Olah}{2014{\em a}}{Olah2014c}
Olah, C. \harvardyearleft 2014{\em a}\harvardyearright , `{Deep Learning , NLP
, and Representations}', pp.~1--9.
\harvarditem{Olah}{2014{\em b}}{Olah2014}
Olah, C. \harvardyearleft 2014{\em b}\harvardyearright , `{Visualizing
Representations: Deep Learning and Human Beings}'.
\newline\harvardurl{http://colah.github.io/posts/2015-01-Visualizing-Representations/\#fn10}
\harvarditem[Patel et~al.]{Patel, Fogarty, Landay \harvardand\
Harrison}{2008}{Patel2008}
Patel, K., Fogarty, J., Landay, J.~a. \harvardand\ Harrison, B.
\harvardyearleft 2008\harvardyearright , `{Examining Difficulties Software
Developers Encounter in the Adoption of Statistical Machine Learning}', {\em
Proc. AAAI 2008} (Hand 1998),~1998--2001.
\harvarditem{Roweis \harvardand\ Saul}{2000}{Roweis2000}
Roweis, S.~T. \harvardand\ Saul, L.~K. \harvardyearleft 2000\harvardyearright
, `{Nonlinear dimensionality reduction by locally linear embedding.}', {\em
Science (New York, N.Y.)} {\bf 290}(5500),~2323--2326.
\harvarditem[Russakovsky et~al.]{Russakovsky, Deng, Su, Krause, Satheesh, Ma,
Huang, Karpathy, Jan, Krause \harvardand\ Ma}{2015}{Russakovsky2015}
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z.,
Karpathy, A., Jan, C.~V., Krause, J. \harvardand\ Ma, S. \harvardyearleft
2015\harvardyearright , `{ImageNet Large Scale Visual Recognition
Challenge}', {\em arXiv preprint arXiv:1409.0575} .
\harvarditem[Sainath et~al.]{Sainath, Kingsbury, Saon, Soltau, Mohamed, Dahl
\harvardand\ Ramabhadran}{2015}{Sainath2015}
Sainath, T.~N., Kingsbury, B., Saon, G., Soltau, H., Mohamed, A.-r., Dahl, G.
\harvardand\ Ramabhadran, B. \harvardyearleft 2015\harvardyearright , `{Deep
Convolutional Neural Networks for Large-scale Speech Tasks}', {\em Neural
Networks} {\bf 64},~39--48.
\newline\harvardurl{http://linkinghub.elsevier.com/retrieve/pii/S0893608014002007}
\harvarditem{Sammon}{1969}{Sammon1969}
Sammon, J.~W. \harvardyearleft 1969\harvardyearright , `{A Nonlinear Mapping
for Data Structure Analysis}', {\em IEEE Trans. Comput.} {\bf
18}(5),~401--409.
\newline\harvardurl{http://dx.doi.org/10.1109/T-C.1969.222678}
\harvarditem{Shoresh \harvardand\ Wong}{2011}{Shoresh2011}
Shoresh, N. \harvardand\ Wong, B. \harvardyearleft 2011\harvardyearright ,
`{Points of view: Data exploration}', {\em Nature Methods} {\bf 9}(1),~5--5.
\newline\harvardurl{http://dx.doi.org/10.1038/nmeth.1829}
\harvarditem[Song et~al.]{Song, Smola, Borgwardt \harvardand\
Gretton}{2007}{Song2007}
Song, L., Smola, A., Borgwardt, K. \harvardand\ Gretton, A. \harvardyearleft
2007\harvardyearright , `{Colored Maximum Variance Unfolding}', pp.~1--8.
\newline\harvardurl{http://eprints.pascal-network.org/archive/00003144/}
\harvarditem[Streeter et~al.]{Streeter, Ward \harvardand\
Alvarez}{2001}{Streeter2001}
Streeter, M., Ward, M. \harvardand\ Alvarez, S.~a. \harvardyearleft
2001\harvardyearright , `{NVIS : an interactive visualization tool for neural
networks}'.
\harvarditem[Sutskever et~al.]{Sutskever, Vinyals \harvardand\
Le}{2014}{Sutskever2014}
Sutskever, I., Vinyals, O. \harvardand\ Le, Q.~V. \harvardyearleft
2014\harvardyearright , `{Sequence to Sequence Learning with Neural
Networks}', {\em Nips 2014} pp.~1--9.
\harvarditem[Tenenbaum et~al.]{Tenenbaum, Silva \harvardand\
Langford}{2000}{Tenenbaum2000}
Tenenbaum, J.~B., Silva, V.~D. \harvardand\ Langford, J.~C. \harvardyearleft
2000\harvardyearright , `{Sci\_Reprint}', {\bf 290}(December),~2319--2323.
\harvarditem{Torgerson}{1952}{Torgerson1952}
Torgerson, W.~S. \harvardyearleft 1952\harvardyearright , `{Multidimensional
scaling: I. Theory and method}'.
\harvarditem{Tufte}{2001}{Tufte2001}
Tufte, E.~R. \harvardyearleft 2001\harvardyearright , {\em {The visual display
of quantitative information}}, 2nd ed. edn, Graphics Press, Cheshire, Conn.
\harvarditem{Tufte \harvardand\ Sigma}{2012}{Tufte2012}
Tufte, E. \harvardand\ Sigma, M. \harvardyearleft 2012\harvardyearright ,
`{Why Visualisation}'.
\newline\harvardurl{http://www.mu-sigma.com/uvnewsletter/index.html}
\harvarditem{Tzeng \harvardand\ Ma}{2005}{Tzeng2005}
Tzeng, F.-Y. \harvardand\ Ma, K.-L. \harvardyearleft 2005\harvardyearright ,
`{Opening the Black Box - Data Driven Visualization of Neural Networks}',
{\em VIS 05. IEEE Visualization, 2005.} (x),~383--390.
\newline\harvardurl{http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1532820}
\harvarditem{van~der Maaten}{2013}{VanderMaaten2013}
van~der Maaten, L. \harvardyearleft 2013\harvardyearright ,
`{Barnes-Hut-SNE}', pp.~1--11.
\newline\harvardurl{http://arxiv.org/abs/1301.3342}
\harvarditem[van~der Maaten et~al.]{van~der Maaten, Postma \harvardand\ van~den
Herik}{2009}{VanderMaaten2009}
van~der Maaten, L., Postma, E. \harvardand\ van~den Herik, J. \harvardyearleft
2009\harvardyearright , `{Dimensionality Reduction: A Comparative Review}',
{\em Journal of Machine Learning Research} {\bf 10}(January),~1--41.
\harvarditem[Vondrick et~al.]{Vondrick, Khosla, Malisiewicz \harvardand\
Torralba}{2013}{Vondrick2013a}
Vondrick, C., Khosla, A., Malisiewicz, T. \harvardand\ Torralba, A.
\harvardyearleft 2013\harvardyearright , `{HOGgles: Visualizing object
detection features}', {\em Proceedings of the IEEE International Conference
on Computer Vision} pp.~1--8.
\harvarditem{Ware}{2010}{Ware2010}
Ware, C. \harvardyearleft 2010\harvardyearright , {\em {Visual Thinking for
Design : for Design}}, Elsevier Science, Burlington.
\newline\harvardurl{http://ncl.eblib.com/patron/FullRecord.aspx?p=405649}
\harvarditem[Ware et~al.]{Ware, Frank, Holmes, Hall \harvardand\
Witten}{2002}{Ware2002}
Ware, M., Frank, E., Holmes, G., Hall, M. \harvardand\ Witten, I.~H.
\harvardyearleft 2002\harvardyearright , `{Interactive Machine Learning :
Letting Users Build Classifiers}', {\em Int. J. Hum.-Comput. Stud.} .
\harvarditem{Weinberger \harvardand\ Saul}{2004}{Weinberger2004}
Weinberger, K.~Q. \harvardand\ Saul, L.~K. \harvardyearleft
2004\harvardyearright , `{Learning a kernel matrix for nonlinear
dimensionality reduction}', (July).
\harvarditem{Wejchert \harvardand\ Tesauro}{1990}{Wejchert1990}
Wejchert, J. \harvardand\ Tesauro, G. \harvardyearleft 1990\harvardyearright ,
`{Neural Network Visualization}', {\em Advances in Neural Information
Processing Systems 2} pp.~465--472.
\newline\harvardurl{http://papers.nips.cc/paper/286-neural-network-visualization.pdf$\backslash$nfiles/4502/Wejchert
? Tesauro - 1990 - Neural Network
Visualization.pdf$\backslash$nfiles/4503/286-neural-network-visualization.html}
\harvarditem{Zeiler \harvardand\ Fergus}{2013}{Zeiler2013}
Zeiler, M.~D. \harvardand\ Fergus, R. \harvardyearleft 2013\harvardyearright ,
`{Visualizing and Understanding Convolutional Networks}', {\em arXiv preprint
arXiv:1311.2901} .
\newline\harvardurl{http://arxiv.org/abs/1311.2901}
\harvarditem[Zeiler et~al.]{Zeiler, Taylor \harvardand\
Fergus}{2011}{Zeiler2011}
Zeiler, M.~D., Taylor, G.~W. \harvardand\ Fergus, R. \harvardyearleft
2011\harvardyearright , `{Adaptive deconvolutional networks for mid and high
level feature learning}', {\em Proceedings of the IEEE International
Conference on Computer Vision} pp.~2018--2025.
\end{thebibliography}