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CVPR
2012
IEEE
13 years 6 months ago
Learning sparse covariance patterns for natural scenes
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness ...
Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David Wip...
ICML
2007
IEEE
16 years 4 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor
ICPR
2010
IEEE
15 years 10 months ago
Object Recognition and Localization Via Spatial Instance Embedding
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
Nazli Ikizler Cinbis, Stan Sclaroff
ICALT
2006
IEEE
15 years 10 months ago
Collaborative Questioning: A Case of Short Message Services (SMS) for Knowledge Sharing
Whenever a class is invited to ask questions, it is individual learners who ask and their questions do not often represent the questions of the whole class. The benefit to those p...
Dick Ng'ambi
ECML
2005
Springer
15 years 9 months ago
Fitting the Smallest Enclosing Bregman Ball
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
Richard Nock, Frank Nielsen