51 search results - page 8 / 11 » On Learning Asymmetric Dissimilarity Measures |
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
JMLR
2010
13 years 6 months ago
2010
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
AAAI
2010
13 years 4 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
MM
2010
ACM
13 years 8 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...