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ECAI
2004
Springer
14 years 1 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
ISMIS
1997
Springer
13 years 11 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
BIBE
2007
IEEE
13 years 7 months ago
Hot and Cold: Spatial Fluctuation in HIV-1 Recombination Rates
Coinfection ofa single cell with two or more HIVstrains may produce recombinant viruses upon template switching by the replication machinery. We applied a hierarchical multiple ch...
Misha L. Rajaram, Vladimir N. Minin, Marc A. Sucha...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
CGF
2004
117views more  CGF 2004»
13 years 7 months ago
Space-Time Hierarchical Radiosity with Clustering and Higher-Order Wavelets
We address in this paper the issue of computing diffuse global illumination solutions for animation sequences. The principal difficulties lie in the computational complexity of gl...
Cyrille Damez, Nicolas Holzschuch, François...