Mercurial > cortex
comparison org/literature-review.org @ 378:8e62bf52be59
reviewing ullman's stuff.
author | Robert McIntyre <rlm@mit.edu> |
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date | Thu, 11 Apr 2013 06:46:01 +0000 |
parents | 80cd096682b2 |
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377:80cd096682b2 | 378:8e62bf52be59 |
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209 overfitting. | 209 overfitting. |
210 | 210 |
211 nifty, relevant, realistic ideas | 211 nifty, relevant, realistic ideas |
212 He doesn't confine himself to unplasaubile assumptions | 212 He doesn't confine himself to unplasaubile assumptions |
213 | 213 |
214 | 214 ** Our Reading |
215 *** 2002 Visual features of intermediate complexity and their use in classification | |
216 | |
217 | |
215 | 218 |
216 | 219 |
217 ** Getting around the dumb "fixed training set" methods | 220 ** Getting around the dumb "fixed training set" methods |
218 | 221 |
219 *** 2006 Learning to classify by ongoing feature selection | 222 *** 2006 Learning to classify by ongoing feature selection |
247 The more complex models must be able to be initialized efficiently | 250 The more complex models must be able to be initialized efficiently |
248 from the less complex models which they replace! | 251 from the less complex models which they replace! |
249 | 252 |
250 | 253 |
251 ** Non Parametric Models | 254 ** Non Parametric Models |
252 | |
253 *** 2002 Visual features of intermediate complexity and their use in classification | |
254 | |
255 | |
256 | 255 |
257 *** 2010 The chains model for detecting parts by their context | 256 *** 2010 The chains model for detecting parts by their context |
258 | 257 |
259 Like the constelation method for rigid objects, but extended to | 258 Like the constelation method for rigid objects, but extended to |
260 non-rigid objects as well. | 259 non-rigid objects as well. |
319 feature F proved effective for a similar class C in the past. | 318 feature F proved effective for a similar class C in the past. |
320 | 319 |
321 Allows you to trasfer the "gestalt" of a similiar class to a new | 320 Allows you to trasfer the "gestalt" of a similiar class to a new |
322 class, by adapting all the features of the learned class that have | 321 class, by adapting all the features of the learned class that have |
323 correspondance to the new class. | 322 correspondance to the new class. |
323 | |
324 *** 2007 Semantic Hierarchies for Recognizing Objects and Parts | |
325 | |
326 Better learning of complex objects like faces by learning each | |
327 piece (like nose, mouth, eye, etc) separately, then making sure | |
328 that the features are in plausable positions. |