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163
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ECCV
2004
Springer
16 years 5 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
114
Voted
ICPR
2010
IEEE
15 years 3 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
133
Voted
SIGGRAPH
2000
ACM
15 years 7 months ago
Out-of-core simplification of large polygonal models
We present an algorithm for out-of-core simplification of large polygonal datasets that are too complex to fit in main memory. The algorithm extends the vertex clustering scheme o...
Peter Lindstrom
ICCV
1998
IEEE
16 years 5 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
167
Voted
ARGMAS
2004
Springer
15 years 9 months ago
An Argument-Based Framework to Model an Agent's Beliefs in a Dynamic Environment
Abstract. One of the most difficult problems in multiagent systems involves representing knowledge and beliefs of agents in dynamic environments. New perceptions modify an agent’...
Marcela Capobianco, Carlos Iván Chesñ...