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» User Adaptive Clustering for Large Image Databases
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121
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BMCBI
2008
137views more  BMCBI 2008»
15 years 2 months ago
Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data
Background: Non-sequence gene data (images, literature, etc.) can be found in many different public databases. Access to these data is mostly by text based methods using gene name...
Michael J. Gilchrist, Mikkel B. Christensen, Richa...
CBMS
2002
IEEE
15 years 6 months ago
An Intelligent Agent-based Knowledge Broker for Enterprise-wide Healthcare Knowledge Procurement
Within the confines of a Healthcare Enterprise Memory (HEM), most traditional medical systems do not sufficiently provide the necessary assistance to healthcare practitioners in t...
Zafar Iqbal Hashmi, Syed Sibte Raza Abidi, Yu-N Ch...
162
Voted
BMCBI
2006
374views more  BMCBI 2006»
15 years 1 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 4 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
MM
2004
ACM
170views Multimedia» more  MM 2004»
15 years 7 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si