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» Mercer Kernels for Object Recognition with Local Features
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CVPR
2009
IEEE
16 years 11 months ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
CVPR
2001
IEEE
16 years 6 months ago
Learning Spatially Localized, Parts-Based Representation
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
CC
2008
Springer
124views System Software» more  CC 2008»
15 years 6 months ago
Coqa: Concurrent Objects with Quantized Atomicity
This paper introduces a new language model, Coqa, for deeply embedding concurrent programming into objects. Every program written in our language has the desirable behaviors of ato...
Yu David Liu, Xiaoqi Lu, Scott F. Smith
CVPR
2004
IEEE
15 years 7 months ago
Parts-Based 3D Object Classification
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...
Daniel F. Huber, Anuj Kapuria, Raghavendra Donamuk...
ACCV
1995
Springer
15 years 7 months ago
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...
Michael Lindenbaum