15 search results - page 3 / 3 » Learning Rich Hidden Markov Models in Document Analysis: Tab... |
MMS
2006
13 years 5 months ago
2006
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
ICDAR
2003
IEEE
13 years 11 months ago
2003
IEEE
This paper proposes a novel handwriting recognition interface for wearable computing where users write characters continuously without pauses on a small single writing box. Since ...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
NIPS
2007
13 years 7 months ago
2007
We present a novel paradigm for statistical machine translation (SMT), based on a joint modeling of word alignment and the topical aspects underlying bilingual document-pairs, via...
BMCBI
2008
13 years 5 months ago
2008
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...