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TSMC
1998
93views more  TSMC 1998»
13 years 7 months ago
Toward a completely automatic neural-network-based human chromosome analysis
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
Boaz Lerner
ECCV
2006
Springer
14 years 9 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
FLAIRS
2004
13 years 9 months ago
VENUS: A System for Novelty Detection in Video Streams with Learning
Novelty detection in video is a rapidly developing application domain within computer vision. The motivation behind this paper is a learning based framework for detecting novelty ...
Roger S. Gaborski, Vishal S. Vaingankar, Vineet Ch...
CGF
2010
165views more  CGF 2010»
13 years 6 months ago
Hierarchical Structure Recovery of Point-Sampled Surfaces
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
Marco Attene, Giuseppe Patanè
TVCG
2008
125views more  TVCG 2008»
13 years 7 months ago
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
Several previous systems allow users to interactively explore a large input graph through cuts of a superimposed hierarchy. This hierarchy is often created using clustering algorit...
Daniel Archambault, Tamara Munzner, David Auber