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ICML
2007
IEEE
16 years 7 months ago
Multiple instance learning for sparse positive bags
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
Razvan C. Bunescu, Raymond J. Mooney
ICML
2006
IEEE
16 years 7 months ago
Statistical debugging: simultaneous identification of multiple bugs
We describe a statistical approach to software debugging in the presence of multiple bugs. Due to sparse sampling issues and complex interaction between program predicates, many g...
Alice X. Zheng, Michael I. Jordan, Ben Liblit, May...
ISBI
2004
IEEE
16 years 7 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan
ISBI
2008
IEEE
16 years 7 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
VLSID
2004
IEEE
97views VLSI» more  VLSID 2004»
16 years 7 months ago
Katha-Mala: A Voice Output Communication Aid for the Children with Severe Speech and Multiple Disorders (SSMI)
Recent developments in embedded systems technology have opened up a vast area of research and development- the development of portable and affordable assistive devices tuned to sp...
Arijit Mukhopadhyay, Saptarshi Biswas, Pratik Wora...