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AAAI
2012
12 years 11 days ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
NAA
2004
Springer
178views Mathematics» more  NAA 2004»
14 years 3 months ago
Performance Optimization and Evaluation for Linear Codes
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
Pavel Tvrdík, Ivan Simecek
ISHPC
1997
Springer
14 years 2 months ago
Resource Management Methods for General Purpose Massively Parallel OS SSS-Core
We propose two resource management methods; a scheduling policy that re ects resource consumption states and a memory-replacement strategy based on page classi cation under distrib...
Yojiro Nobukuni, Takashi Matsumoto, Kei Hiraki
DAGM
2006
Springer
14 years 1 months ago
Dense Stereo by Triangular Meshing and Cross Validation
Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. ...
ANLP
1997
80views more  ANLP 1997»
13 years 11 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe