PRIS
2010
13 years 9 months ago
2010
We present our efforts towards a multi-camera mouse-replacement system for computer users with severe motion impairments. We have worked with individuals with cerebral palsy or mul...
PRIS
2010
13 years 9 months ago
2010
The amount of information available in the MEDLINE database makes it very hard for a researcher to retrieve a reasonable amount of relevant documents using a simple query language ...
MCS
2010
Springer
13 years 9 months ago
2010
Springer
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
ICEIS
2010
IEEE
13 years 9 months ago
2010
IEEE
Regularities in the world are human defined. Patterns in the observed phenomena are there because we define and recognize them as such. Automatic pattern recognition tries to bridg...
ETRA
2010
ACM
13 years 9 months ago
2010
ACM
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
CIARP
2010
Springer
13 years 10 months ago
2010
Springer
CIARP
2010
Springer
13 years 10 months ago
2010
Springer
The aim of this paper is to present a dissimilarity measure strategy by which a new philosophy for pattern classification pertaining to dissimilaritybased classifications (DBCs) ca...
CG
2010
Springer
13 years 10 months ago
2010
Springer
Generating, grouping, and labeling free-sketch data is a difficult and time-consuming task for both user study participants and researchers. To simplify this process for both part...
SSPR
2010
Springer
13 years 10 months ago
2010
Springer
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
SSPR
2010
Springer
13 years 10 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...