Subendhu Rongali

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy. Such a taxonomy may not have been available or referenced when the individual classifiers were designed and trained, yet mapping the output labels into the taxon-omy is desirable to integrate the effort spent in training the constituent classifiers. A(More)
With advances in solar photovoltaic technology and decreasing costs of panels, solar energy is considered as an economical and sustainable solution for growing energy demands, especially in countries such as India with high insolation levels. However, key challenges exist in large scale adoption of distributed solar generation. Firstly, there are concerns(More)
In most general learning problems, data is obtained from multiple sources. Hence, the features can be inherently partitioned into multiple views or feature sets. For example, a media clip can have both audio and video features. If we concatenate these features to form a single view, we essentially lose some statistical properties exhibited by the views.(More)
  • 1