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ISNN
2011
Springer
12 years 11 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
CVPR
2005
IEEE
14 years 10 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
ICCV
2005
IEEE
14 years 10 months ago
Class-Specific Material Categorisation
Although a considerable amount of work has been published on material classification, relatively little of it studies situations with considerable variation within each class. Man...
Barbara Caputo, Eric Hayman, P. Mallikarjuna
BMCBI
2005
109views more  BMCBI 2005»
13 years 8 months ago
Automation of gene assignments to metabolic pathways using high-throughput expression data
Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
Liviu Popescu, Golan Yona
ECCV
2006
Springer
14 years 10 months ago
Retexturing Single Views Using Texture and Shading
We present a method for retexturing non-rigid objects from a single viewpoint. Without reconstructing 3D geometry, we create realistic video with shape cues at two scales. At a coa...
Ryan White, David A. Forsyth