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ISNN
2011
Springer
13 years 1 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
RECOMB
2006
Springer
14 years 10 months ago
New Methods for Detecting Lineage-Specific Selection
Abstract. So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branch...
Adam C. Siepel, Katherine S. Pollard, David Haussl...
CVPR
2004
IEEE
15 years 4 days ago
Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
Sean M. O'Malley, Ioannis A. Kakadiaris
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
14 years 4 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
MVA
2000
212views Computer Vision» more  MVA 2000»
13 years 10 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...