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ENGL
2007
180views more  ENGL 2007»
13 years 8 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
TSMC
1998
93views more  TSMC 1998»
13 years 8 months ago
Toward a completely automatic neural-network-based human chromosome analysis
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
Boaz Lerner
ERCIMDL
2006
Springer
102views Education» more  ERCIMDL 2006»
14 years 7 days ago
On the Problem of Identifying the Quality of Geographic Metadata
Geographic metadata quality is one of the most important aspects on the performance of Geographic Digital Libraries. After reviewing previous attempts outside the geographic domain...
Rafael Tolosana-Calasanz, José A. Ál...
ECCV
2006
Springer
14 years 8 days ago
Spatial Segmentation of Temporal Texture Using Mixture Linear Models
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...
Lee Cooper, Jun Liu, Kun Huang
VLSISP
2010
191views more  VLSISP 2010»
13 years 3 months ago
Sign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
W. W. Kong, Surendra Ranganath