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BMCBI
2007
107views more  BMCBI 2007»
15 years 2 months ago
A computational approach for detecting peptidases and their specific inhibitors at the genome level
Background: Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2–5% of the genes encode for peptidases, irresp...
Lisa Bartoli, Remo Calabrese, Piero Fariselli, Dam...
113
Voted
BMCBI
2005
115views more  BMCBI 2005»
15 years 2 months ago
MPrime: efficient large scale multiple primer and oligonucleotide design for customized gene microarrays
Background: Enhancements in sequencing technology have recently yielded assemblies of large genomes including rat, mouse, human, fruit fly, and zebrafish. The availability of larg...
Eric C. Rouchka, Abdelnaby Khalyfa, Nigel G. F. Co...
CVPR
2008
IEEE
16 years 4 months ago
Learning realistic human actions from movies
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Be...
171
Voted

Publication
200views
13 years 10 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
104
Voted
ISMB
1996
15 years 3 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa