65 search results - page 3 / 13 » Is Nonparametric Learning Practical in Very High Dimensional... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
PREMI
2005
Springer
14 years 29 days ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
DSMML
2004
Springer
14 years 26 days ago
2004
Springer
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...