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JMLR
2012
13 years 7 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
DAC
2006
ACM
16 years 5 months ago
Optimization of area under a delay constraint in digital filter synthesis using SAT-based integer linear programming
In this paper, we propose an exact algorithm for the problem of area optimization under a delay constraint in the synthesis of multiplierless FIR filters. To the best of our knowl...
Eduardo A. C. da Costa, José Monteiro, Leve...
GLOBECOM
2007
IEEE
15 years 10 months ago
Reduced Complexity Sequence Detection of Continuous Phase Modulation Represented as the Linear Superposition of Amplitude Modula
The Laurent Decomposition expresses any binary single-h CPM waveform as the summation of a finite number of pulse amplitude modulated components, and this result has been useful i...
Marilynn P. Wylie-Green, Erik Perrins
COSIT
2003
Springer
129views GIS» more  COSIT 2003»
15 years 9 months ago
Linearized Terrain: Languages for Silhouette Representations
The scope of this paper is a qualitative description of terrain features that can be characterized using the silhouette of a terrain. The silhouette is a profile of a landform seen...
Lars Kulik, Max J. Egenhofer
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 5 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens