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JMLR
2010
112views more  JMLR 2010»
13 years 3 days ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
CPM
2010
Springer
180views Combinatorics» more  CPM 2010»
13 years 10 months ago
Algorithms for Three Versions of the Shortest Common Superstring Problem
Abstract. The input to the Shortest Common Superstring (SCS) problem is a set S of k words of total length n. In the classical version the output is an explicit word SCS(S) in whic...
Maxime Crochemore, Marek Cygan, Costas S. Iliopoul...
CCA
2000
Springer
13 years 9 months ago
A Computable Spectral Theorem
Computing the spectral decomposition of a normal matrix is among the most frequent tasks to numerical mathematics. A vast range of methods are employed to do so, but all of them su...
Martin Ziegler, Vasco Brattka
ECCV
2004
Springer
14 years 7 months ago
Structure and Motion from Images of Smooth Textureless Objects
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...
ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
13 years 11 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...