1091 search results - page 59 / 219 » Learning Models for Predicting Recognition Performance |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We introduce a novel set of features for robust object recognition. Each element of this set is a complex feature obtained by combining position- and scale-tolerant edgedetectors ...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
JMLR
2010
14 years 4 months ago
2010
Causal learning methods are often evaluated in terms of their ability to discover a true underlying directed acyclic graph (DAG) structure. However, in general the true structure ...