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133
Voted
ICCV
2009
IEEE
16 years 7 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
121
Voted
CVPR
2007
IEEE
16 years 4 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
125
Voted
ICDAR
2009
IEEE
15 years 9 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
134
Voted
ISVC
2009
Springer
15 years 9 months ago
Propagation of Pixel Hypotheses for Multiple Objects Tracking
Abstract. In this paper we propose a new approach for tracking multiple objects in image sequences. The proposed approach differs from existing ones in important aspects of the re...
Haris Baltzakis, Antonis A. Argyros
ICPR
2008
IEEE
15 years 8 months ago
Three related types of multi-value association patterns
Mining patterns involving multiple values that are significantly relevant is a difficult but very important problem that crosses many disciplines. Multi-value association patterns...
Thomas W. H. Lui, David K. Y. Chiu