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» Vagueness and Rough Location
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COSIT
2009
Springer
165views GIS» more  COSIT 2009»
14 years 2 months ago
To Be and Not To Be: 3-Valued Relations on Graphs
Spatial information requires models which allow us to answer ‘maybe’ to questions asking whether a location lies within a region. At the same time, models must account for data...
John G. Stell
ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
14 years 2 months ago
Minimalistic control of a compass gait robot in rough terrain
— Although there has been an increasing interest in dynamic bipedal locomotion for significant improvement of energy efficiency and dexterity of mobile robots in the real world...
Fumiya Iida, Russ Tedrake
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 28 days ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
ICRA
2009
IEEE
108views Robotics» more  ICRA 2009»
14 years 2 months ago
Control of hopping speed and height over unknown rough terrain using a single actuator
— We present a method for controlling the forward speed and the apex height of a one-legged hopping robot over rough terrain, using a single actuator located at the robot hip. Th...
Nicholas Cherouvim, Evangelos Papadopoulos
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 7 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...