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ECAI
2004
Springer
15 years 5 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ACL
1993
15 years 1 months ago
Contextual Word Similarity and Estimation from Sparse Data
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...
Ido Dagan, Shaul Marcus, Shaul Markovitch
ICASSP
2011
IEEE
14 years 3 months ago
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization
Alternating optimization algorithms for canonical polyadic decomposition (with/without nonnegative constraints) often accompany update rules with low computational cost, but could...
Anh Huy Phan, Petr Tichavský, Andrzej Cicho...
ICIP
2007
IEEE
16 years 1 months ago
Blind Audiovisual Source Separation using Sparse Representations
In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
15 years 1 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu