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» Predicting Lattice Reduction
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ICIP
2004
IEEE
16 years 5 months ago
Drift reduction for a H.264/AVC fine grain scalability with motion compensation architecture
The recent advances in non-scalable video encoding brought by the H.264/AVC standard offered significant improvements in terms of rate-distortion performance. This paper proposes ...
João Ascenso, Fernando Pereira
NIPS
2008
15 years 5 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 10 months ago
Dimension Reduction for Supervised Ordering
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
Toshihiro Kamishima, Shotaro Akaho
ICML
2010
IEEE
15 years 5 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
ISCA
1998
IEEE
108views Hardware» more  ISCA 1998»
15 years 8 months ago
Pipeline Gating: Speculation Control for Energy Reduction
Branch prediction has enabled microprocessors to increase instruction level parallelism (ILP) by allowing programs to speculatively execute beyond control boundaries. Although spe...
Srilatha Manne, Artur Klauser, Dirk Grunwald