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» A Discriminative Framework for Modelling Object Classes
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CVPR
2010
IEEE
14 years 5 months ago
Pareto Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...
Karim Abou-Moustafa, Fernando De la Torre, Frank F...
ICIP
2001
IEEE
14 years 10 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
NIPS
1998
13 years 10 months ago
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
Shumeet Baluja
ICRA
2007
IEEE
224views Robotics» more  ICRA 2007»
14 years 3 months ago
Visual Categorization Robust to Large Intra-Class Variations using Entropy-guided Codebook
Abstract— Categorizing visual elements is fundamentally important for autonomous mobile robots to get intelligence such as new object acquisition and topological place classific...
Sungho Kim, In-So Kweon, Chil-Woo Lee
BMVC
2010
13 years 7 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...