709 search results - page 90 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
213
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
111
Voted
JUCS
2008
15 years 3 months ago
2008
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
131
Voted
ESANN
2004
15 years 5 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
124
Voted
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
In this paper we discuss object detection when only a small number of training examples are given. Specifically, we show how to incorporate a simple prior on the distribution of n...
163
Voted
JMLR
2006
15 years 3 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...