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» A Novel Framework for Discovering Robust Cluster Results
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CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Discriminative Discovery of Transcription Factor Binding Sites from Location Data
Motivation: The availability of genome-wide location analyses based on chromatin immunoprecipitation (ChIP) data gives a new insight for in silico analysis of transcriptional regu...
Yuji Kawada, Yasubumi Sakakibara
AIPR
2001
IEEE
14 years 13 days ago
Towards Robust Face Recognition from Video
A novel, template-based method for face recognition is presented. The goals of the proposed method are to integrate multiple observations for improved robustness and to provide au...
Jeffery R. Price, Timothy F. Gee

Publication
248views
13 years 6 months ago
Equalizer: A Scalable Parallel Rendering Framework
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...
Stefan Eilemann, Maxim Makhinya, Renato Pajarola
AUSAI
2008
Springer
13 years 10 months ago
Clustering with XCS on Complex Structure Dataset
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang
GRID
2004
Springer
14 years 2 months ago
MARS: A Metascheduler for Distributed Resources in Campus Grids
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...
Abhijit Bose, Brian Wickman, Cameron Wood