17 search results - page 2 / 4 » Embedding HMM's-based models in a Euclidean space: The topol... |
NIPS
2003
13 years 6 months ago
2003
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
BIOADIT
2004
Springer
13 years 8 months ago
2004
Springer
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
ISVC
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Multi-view range image integration aims at producing a single reasonable 3D point cloud. The point cloud is likely to be inconsistent with the measurements topologically ...