Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidir...
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...