4616 search results - page 756 / 924 » Extreme Components Analysis |
126
click to vote
ICCV
2007
IEEE
15 years 10 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
124
click to vote
ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide...
138
Voted
ICIP
2007
IEEE
15 years 10 months ago
2007
IEEE
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
145
Voted
ICIP
2007
IEEE
15 years 10 months ago
2007
IEEE
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
117
Voted
ICMCS
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental subspace update. There are two template matching...