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» Optimizing Complex Loss Functions in Structured Prediction
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ICCV
2003
IEEE
14 years 2 months ago
Markov-Based Failure Prediction for Human Motion Analysis
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
Shiloh L. Dockstader, Nikita S. Imennov, A. Murat ...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 11 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 10 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
AINA
2007
IEEE
13 years 9 months ago
Optimizing Performance of Web Service Providers
A workflow aggregates the underlying Web Services in a manner consistent with the desired functionality. Since CWS can contain atomic and other CWS they encourage the development ...
Dmytro Dyachuk, Ralph Deters
ICIP
2003
IEEE
14 years 10 months ago
Near-optimal multipath streaming of H.264 using reference frame selection
New video codink standards such as H.264 offer the flexibility to select from a number of reference frames for motion-estimation for a given predicted frame. In this paper, we pro...
Gene Cheung