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ISBI
2002
IEEE
16 years 7 months ago
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models
In this paper we summarize our results for two classes of hierarchical multi-scale models that exploit contextual information for detection of structure in mammographic imagery. T...
Paul Sajda, Clay Spence, Lucas C. Parra
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Two-Layer Generative Models for Sport Video Mining
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
Yi Ding, Guoliang Fan, W. Bryan
CVPR
2007
IEEE
16 years 9 months ago
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson