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PAMI
2006
206views more  PAMI 2006»
15 years 6 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
TIT
2008
65views more  TIT 2008»
15 years 6 months ago
Power-Efficient Resource Allocation for Time-Division Multiple Access Over Fading Channels
We investigate resource allocation policies for time-division multiple access (TDMA) over fading channels in the power-limited regime. For frequency-flat block-fading channels and ...
Xin Wang, Georgios B. Giannakis
RAS
2008
139views more  RAS 2008»
15 years 6 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
IJCV
2010
362views more  IJCV 2010»
15 years 5 months ago
Tracking in a Dense Crowd Using Multiple Cameras
Abstract Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In th...
Ran Eshel, Yael Moses
JIRS
2010
104views more  JIRS 2010»
15 years 5 months ago
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Abstract This paper presents a methodology based on a variation of the Rapidlyexploring Random Trees (RRTs) that generates feasible trajectories for a team of autonomous aerial veh...
Armando Alves Neto, Douglas Guimarães Macha...