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» Making inferences with small numbers of training sets
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ECCV
2010
Springer
14 years 1 months ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
CVIU
2006
222views more  CVIU 2006»
13 years 9 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
PRESENCE
2010
84views more  PRESENCE 2010»
13 years 7 months ago
Effects of P300-Based BCI Use on Reported Presence in a Virtual Environment
Brain–computer interfaces (BCIs) are becoming more and more popular as an input device for virtual worlds and computer games. Depending on their function, a major drawback is th...
Christoph Groenegress, Clemens Holzner, Christoph ...
ACL
2010
13 years 7 months ago
Simple, Accurate Parsing with an All-Fragments Grammar
We present a simple but accurate parser which exploits both large tree fragments and symbol refinement. We parse with all fragments of the training set, in contrast to much recent...
Mohit Bansal, Dan Klein
ML
2008
ACM
13 years 9 months ago
Incremental exemplar learning schemes for classification on embedded devices
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
Ankur Jain, Daniel Nikovski