166 search results - page 14 / 34 » Multiple Component Learning for Object Detection |
84
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...
ICCS
2005
Springer
2005
Springer
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
15 years 3 months ago
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
DIMVA
2004
14 years 11 months ago
2004
: A method to heuristically construct an isomorphism between the sets of functions in two similar but differing versions of the same executable file is presented. Such an isomorphi...
PAMI
2010
14 years 8 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...