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ICCV
2007
IEEE
16 years 8 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
146
Voted
DASFAA
2010
IEEE
139views Database» more  DASFAA 2010»
16 years 1 months ago
Highly Scalable Multiprocessing Algorithms for Preference-Based Database Retrieval
Abstract. Until recently algorithms continuously gained free performance improvements due to ever increasing processor speeds. Unfortunately, this development has reached its limit...
Joachim Selke, Christoph Lofi, Wolf-Tilo Balke
CIDM
2007
IEEE
16 years 1 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
VLSID
2007
IEEE
142views VLSI» more  VLSID 2007»
16 years 1 months ago
Novel Architectures for High-Speed and Low-Power 3-2, 4-2 and 5-2 Compressors
The 3-2, 4-2 and 5-2 compressors are the basic components in many applications, in particular partial product summation in multipliers. In this paper novel architectures and desig...
Sreehari Veeramachaneni, Kirthi M. Krishna, Lingam...