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IROS
2006
IEEE
138views Robotics» more  IROS 2006»
14 years 1 months ago
Hardware-in-the-loop Test Rig to Capture Aerial Robot and Sensor Suite Performance Metrics
Fully autonomous aerial robots are needed to accomplish near-Earth missions such as search and rescue, and bio-chemical sensing. Recent advances in sensor technologies ([6], [8], ...
Vefa Narli, Paul Y. Oh
PR
2010
156views more  PR 2010»
13 years 6 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 7 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ERSA
2003
171views Hardware» more  ERSA 2003»
13 years 9 months ago
Collaborative and Reconfigurable Object Tracking
Camera 1 Camera 3 Camera 2 Controller Moving object FPGA PowerPC SDRAM Coprocessor Image Sensor SDRAM FlashRAM a) b) Many vision applications perform intensive computations and de...
Soheil Ghiasi, Hyun J. Moon, Majid Sarrafzadeh
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu