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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
12 years 11 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
ICCV
2011
IEEE
12 years 9 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
12 years 8 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
CHES
2011
Springer
276views Cryptology» more  CHES 2011»
12 years 8 months ago
FPGA-Based True Random Number Generation Using Circuit Metastability with Adaptive Feedback Control
Abstract. The paper presents a novel and efficient method to generate true random numbers on FPGAs by inducing metastability in bi-stable circuit elements, e.g. flip-flops. Meta...
Mehrdad Majzoobi, Farinaz Koushanfar, Srinivas Dev...
ICUMT
2009
13 years 6 months ago
Coordinate-based routing: Refining nodeIds in structured peer-to-peer systems
Structured peer-to-peer systems--also known as key-based routing protocols--offer a base for a broad range of applications. In the past, different topology adaptation mechanisms fo...
Fabian Hartmann, Bernhard Heep