Bitmap indices are efficient data structures for processing complex, multi-dimensional queries in data warehouse applications and scientific data analysis. For high-cardinality at...
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
New storage-class memory (SCM) technologies, such as phasechange memory, STT-RAM, and memristors, promise user-level access to non-volatile storage through regular memory instruct...
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...