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CVPR
2006
IEEE
16 years 1 months ago
Selecting Principal Components in a Two-Stage LDA Algorithm
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
Aleix M. Martínez, Manli Zhu
CVPR
2008
IEEE
16 years 1 months ago
Precise detailed detection of faces and facial features
Face detection has advanced dramatically over the past three decades. Algorithms can now quite reliably detect faces in clutter in or near real time. However, much still needs to ...
Liya Ding, Aleix M. Martínez
DAC
2009
ACM
16 years 24 days ago
Process variation characterization of chip-level multiprocessors
Within-die variation in leakage power consumption is substantial and increasing for chip-level multiprocessors (CMPs) and multiprocessor systems-on-chip. Dealing with this problem...
Lide Zhang, Lan S. Bai, Robert P. Dick, Li Shang, ...
POPL
2009
ACM
16 years 13 days ago
The theory of deadlock avoidance via discrete control
Deadlock in multithreaded programs is an increasingly important problem as ubiquitous multicore architectures force parallelization upon an ever wider range of software. This pape...
Manjunath Kudlur, Scott A. Mahlke, Stéphane...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 6 days ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...