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CVPR
1999
IEEE
16 years 9 months ago
High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
We analyze the problem of detecting a road target in background clutter and investigate the amount of prior (i.e. target specific) knowledge needed to perform this search task. Th...
Alan L. Yuille, James M. Coughlan
CVPR
2000
IEEE
16 years 9 months ago
Nearest Neighbor Search Using Additive Binary Tree
Classifying an unknown input is a fundamental problem in Pattern Recognition. One standard method is finding its nearest neighbors in a reference set. It would be very time consum...
Sung-Hyuk Cha, Sargur N. Srihari
CVPR
2001
IEEE
16 years 9 months ago
Learning Probabilistic Distribution Model for Multi-View Face Detection
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
Lie Gu, Stan Z. Li, HongJiang Zhang
CVPR
2004
IEEE
16 years 9 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman
CVPR
2005
IEEE
16 years 9 months ago
Spatiograms versus Histograms for Region-Based Tracking
We introduce the concept of a spatiogram, which is a generalization of a histogram that includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while ...
Stan Birchfield, Sriram Rangarajan