24 search results - page 2 / 5 » Empirical Characterization of Discretization Error in Gradie... |
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
ICIP
2006
IEEE
14 years 7 months ago
2006
IEEE
For the first time, we compute modulation domain features for infrared targets and backgrounds, including dominant modulations that characterize the local texture contrast, orient...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
In this paper we investigate the general problem of discovering recurrent patterns that are embedded in categorical sequences. An important real-world problem of this nature is mo...
IJBRA
2007
13 years 5 months ago
2007
Abstract: High-throughput array-based assays have recently been developed to detect DNA copy number (DCN) aberrations. The DCN data from these arrays is characterized by high level...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...