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» Computing LTS Regression for Large Data Sets
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BMCBI
2005
160views more  BMCBI 2005»
14 years 9 months ago
Data-poor categorization and passage retrieval for Gene Ontology Annotation in Swiss-Prot
Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
Frédéric Ehrler, Antoine Geissbü...
BMCBI
2007
137views more  BMCBI 2007»
14 years 9 months ago
PlnTFDB: an integrative plant transcription factor database
Background: Transcription factors (TFs) are key regulatory proteins that enhance or repress the transcriptional rate of their target genes by binding to specific promoter regions ...
Diego Mauricio Riaño-Pachón, Sloboda...
CVPR
1998
IEEE
15 years 11 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
FOCS
2004
IEEE
15 years 1 months ago
On the Streaming Model Augmented with a Sorting Primitive
The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quali...
Gagan Aggarwal, Mayur Datar, Sridhar Rajagopalan, ...
CAMP
2005
IEEE
15 years 3 months ago
Speeding-up NCC-Based Template Matching Using Parallel Multimedia Instructions
— This paper describes the mapping of a recently introduced template matching algorithm based on the Normalized Cross Correlation (NCC) on a general purpose processor endowed wit...
Luigi di Stefano, Stefano Mattoccia, Federico Tomb...