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PAMI
2006
206views more  PAMI 2006»
13 years 7 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
MOC
1998
86views more  MOC 1998»
13 years 7 months ago
Vector subdivision schemes and multiple wavelets
We consider solutions of a system of refinement equations written in the form φ = α∈Z a(α)φ(2 · −α), where the vector of functions φ = (φ1, . . . , φr)T is in (Lp(R))...
Rong-Qing Jia, Sherman D. Riemenschneider, Ding-Xu...
ICASSP
2011
IEEE
12 years 11 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
AAAI
2012
11 years 9 months ago
A Multivariate Complexity Analysis of Lobbying in Multiple Referenda
We extend work by Christian et al. [Review of Economic Design 2007] on lobbying in multiple referenda by first providing a more fine-grained analysis of the computational comple...
Robert Bredereck, Jiehua Chen, Sepp Hartung, Rolf ...
ANSS
2007
IEEE
14 years 1 months ago
Scalable Data Collection Protocols for Wireless Sensor Networks with Multiple Mobile Sinks
Data propagation in wireless sensor networks is usually performed as a multihop process. To deliver a single message, the resources of many sensor nodes are used and a lot of ener...
Athanasios Kinalis, Sotiris E. Nikoletseas