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204views
13 years 5 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 7 months ago
High-Level Networking With Mobile Code And First Order AND-Continuations
We describe a scheme for moving living code between a set of distributed processes coordinated with unification based Linda operations, and its application to building a comprehen...
Paul Tarau, Verónica Dahl
IJCNN
2000
IEEE
14 years 7 days ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
ICIP
2010
IEEE
13 years 5 months ago
Fast and robust active contours for image segmentation
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
14 years 1 months ago
Discovering Frequent Poly-Regions in DNA Sequences
The problem of discovering arrangements of regions of high occurrence of one or more items of a given alphabet in a sequence, is studied, and two efficient approaches are propose...
Panagiotis Papapetrou, Gary Benson, George Kollios