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ICIP
2010
IEEE
15 years 2 months ago
Probing the local-feature space of interest points
We describe an empirical study on the feature space of interest points for natural images. Although local features have been widely used in image analysis as building blocks of va...
Wei-Ting Lee, Hwann-Tzong Chen
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 4 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
IPSN
2009
Springer
15 years 11 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
CPM
2006
Springer
95views Combinatorics» more  CPM 2006»
15 years 8 months ago
New Bounds for Motif Finding in Strong Instances
Many algorithms for motif finding that are commonly used in bioinformatics start by sampling r potential motif occurrences from n input sequences. The motif is derived from these s...
Brona Brejová, Daniel G. Brown, Ian M. Harr...
PVLDB
2010
134views more  PVLDB 2010»
15 years 2 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...