Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Forming test collection relevance judgments from the pooled output of multiple retrieval systems has become the standard process for creating resources such as the TREC, CLEF, and...
d abstract) Bartosz Przydatek1 and Reto Strobl2 1 Department of Computer Science, ETH Z¨urich, Switzerland 2 IBM Research, Zurich Research Laboratory, Switzerland In this paper, w...
Today’s mainstream object-oriented compilers and tools do not support declaring and statically checking simple pre- and postconditions on methods and invariants on object represe...
Abstract. We present a cost-based adaptive clustering method to improve average performance of spatial queries (intersection, containment, enclosure queries) over large collections...