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CVPR
2011
IEEE
14 years 8 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
90
Voted
RECOMB
2005
Springer
16 years 27 days ago
Modeling the Combinatorial Functions of Multiple Transcription Factors
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
Chen-Hsiang Yeang, Tommi Jaakkola
114
Voted
SI3D
2010
ACM
15 years 7 months ago
Learning skeletons for shape and pose
In this paper a method for estimating a rigid skeleton, including skinning weights, skeleton connectivity, and joint positions, given a sparse set of example poses is presented. I...
Nils Hasler, Thorsten Thormählen, Bodo Rosenh...
IEEEPACT
2009
IEEE
15 years 7 months ago
DDCache: Decoupled and Delegable Cache Data and Metadata
Abstract—In order to harness the full compute power of manycore processors, future designs must focus on effective utilization of on-chip cache and bandwidth resources. In this p...
Hemayet Hossain, Sandhya Dwarkadas, Michael C. Hua...
CODES
2008
IEEE
15 years 7 months ago
Symbolic voter placement for dependability-aware system synthesis
This paper presents a system synthesis approach for dependable embedded systems. The proposed approach significantly extends previous work by automatically inserting fault detect...
Felix Reimann, Michael Glabeta, Martin Lukasiewycz...