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» Objective Functions for Feature Discrimination
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ICANN
2010
Springer
15 years 1 months ago
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
Abstract. A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a small neighborhood. However, the differences ...
Dominik Scherer, Andreas Müller, Sven Behnke
102
Voted
EMNLP
2008
15 years 2 months ago
Transliteration as Constrained Optimization
This paper introduces a new method for identifying named-entity (NE) transliterations in bilingual corpora. Recent works have shown the advantage of discriminative approaches to t...
Dan Goldwasser, Dan Roth
AUSAI
2008
Springer
15 years 2 months ago
Using Probabilistic Feature Matching to Understand Spoken Descriptions
Abstract. We describe a probabilistic reference disambiguation mechanism developed for a spoken dialogue system mounted on an autonomous robotic agent. Our mechanism performs proba...
Ingrid Zukerman, Enes Makalic, Michael Niemann
84
Voted
ICPR
2008
IEEE
15 years 7 months ago
Semi-supervised feature selection under logistic I-RELIEF framework
We consider feature selection in the semi-supervised learning setting. This problem is rarely addressed in the literature. We propose a new algorithm as a natural extension of the...
Yubo Cheng, Yunpeng Cai, Yijun Sun, Jian Li
ICCV
2009
IEEE
14 years 10 months ago
Non-rigid object localization and segmentation using eigenspace representation
This paper presents a novel non-rigid object localization and segmentation algorithm using an eigenspace representation. Previous approaches to eigenspace methods for object track...
Omar Arif, Patricio A. Vela