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» Image Based Regression Using Boosting Method
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217
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CVPR
2007
IEEE
16 years 9 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...
ICPR
2010
IEEE
15 years 11 months ago
PILL-ID: Matching and Retrieval of Drug Pill Imprint Images
—Automatic illicit drug pill matching and retrieval is becoming an important problem due to an increase in the number of tablet type illicit drugs being circulated in our society...
Young-Bum Lee, Unsang Park, Anil Jain
ICASSP
2010
IEEE
15 years 7 months ago
Buffer management for multi-application image processing on multi-core platforms: Analysis and case study
Due to the limited amounts of on-chip memory, large volumes of data, and performance and power consumption overhead associated with interprocessor communication, efficient managem...
Dong-Ik Ko, Nara Won, Shuvra S. Bhattacharyya
NIPS
2007
15 years 8 months ago
Subspace-Based Face Recognition in Analog VLSI
We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either progr...
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figuero...
223
Voted
BMCBI
2006
126views more  BMCBI 2006»
15 years 7 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo