140 search results - page 18 / 28 » Learning Better Data Representation Using Inference-Driven M... |
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
MM
2004
ACM
14 years 1 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
PSIVT
2009
Springer
14 years 2 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
JASIS
2000
13 years 7 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...