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ICML
2008
IEEE
16 years 7 months ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
MIRAGE
2009
Springer
16 years 28 days ago
A Bag of Words Approach for 3D Object Categorization
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
ICASSP
2009
IEEE
15 years 4 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
ICDAR
2009
IEEE
16 years 1 months ago
Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis
In this paper we propose a new approach to improve electronic editions of human science corpus, providing an efficient estimation of manuscripts pages structure. In any handwriti...
Vincent Malleron, Véronique Eglin, Hubert E...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 16 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler