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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
RECOMB
2006
Springer
16 years 6 months ago
Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data
Permutation of class labels is a common approach to build null distributions for significance analyis of microarray data. It is assumed to produce random score distributions, which...
Stefanie Scheid, Rainer Spang
ICCD
2005
IEEE
224views Hardware» more  ICCD 2005»
16 years 3 months ago
Algorithmic and Architectural Design Methodology for Particle Filters in Hardware
In this paper we present algorithmic and architectural methodology for building Particle Filters in hardware. Particle filtering is a new paradigm for filtering in presence of n...
Aswin C. Sankaranarayanan, Rama Chellappa, Ankur S...
ICASSP
2009
IEEE
16 years 1 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
FQAS
2009
Springer
125views Database» more  FQAS 2009»
16 years 29 days ago
Predicting Neighbor Goodness in Collaborative Filtering
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work...
Alejandro Bellogín, Pablo Castells