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EMMCVPR
2005
Springer
15 years 8 months ago
Spatio-temporal Prior Shape Constraint for Level Set Segmentation
Abstract. This paper exposes a novel formulation of prior shape constraint incorporation for the level set segmentation of objects from corrupted images. Applicable to variational ...
Timothée Bailloeul, Véronique Prinet...
118
Voted
ICRA
1993
IEEE
142views Robotics» more  ICRA 1993»
15 years 6 months ago
Avoiding the Past: A Simple but Effective Strategy for Reactive Navigation
An issue central to the navigation problem is memory. Traditional systems build symbolic maps of the world for navigational reference. Reactive methods, in contrast, eliminate or m...
Tucker R. Balch, Ronald C. Arkin
107
Voted
NIPS
2004
15 years 4 months ago
Adaptive Manifold Learning
Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
Jing Wang, Zhenyue Zhang, Hongyuan Zha
97
Voted
NAACL
2003
15 years 4 months ago
A Context-Sensitive Homograph Disambiguation in Thai Text-to-Speech Synthesis
Homograph ambiguity is an original issue in Text-to-Speech (TTS). To disambiguate homograph, several efficient approaches have been proposed such as part-of-speech (POS) n-gram, B...
Virongrong Tesprasit, Paisarn Charoenpornsawat, Vi...
108
Voted
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
15 years 9 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer