Table Structure Recognition is an essential part of end-to-end tabular d...
Electricity load forecasting enables the grid operators to optimally
imp...
With the advancement of powerful image processing and machine learning
t...
Tables present summarized and structured information to the reader, whic...
Current cross-modal retrieval systems are evaluated using R@K measure wh...
We present a novel extension to embedding-based knowledge graph completi...
Document structure analysis, such as zone segmentation and table parsing...
One of the key differences between the learning mechanism of humans and
...
The ability to learn from incrementally arriving data is essential for a...
Many classification approaches first represent a test sample using the
t...
We propose a Bayesian approach to learn discriminative dictionaries for
...
Efficient and accurate joint representation of a collection of images, t...
We present an algorithm that automatically establishes dense corresponde...
Palmprints are emerging as a new entity in multi-modal biometrics for hu...