Fermentable sugar production from lignocellulosic biomass has received considerable
attention and has been dramatic progress recently. However, due to low enzymatic …

Lignocellulosic biomass is the generally explored substrate to produce bioethanol for
environmental sustainability due to its availability in abundance. However, the complex …

Cross-modal retrieval has become a highlighted research topic, to provide flexible retrieval
experience across multimedia data such as image, video, text and audio. The core of …

As a well-known nonlinear dimensionality reduction method, Laplacian Eigenmaps (LE)
aims to find low dimensional representations of the original high dimensional data by …

Images are often represented as vectors with high dimensions when involved in
classification. As a result, dimensionality reduction methods have to be developed to avoid …

In this paper, we present a novel computer-aided diagnostic (CAD) system based on the
Breast Imaging Reporting and Data System (BI-RADS) terminology scores of screening …

Cross-media retrieval (CMR) is an attractive networked application where a server responds
to queries with retrieval results of different modalities. Different from traditional information …

A massive explosion of various types of data has been triggered in the “Big Data” era. In big
data systems, machine learning plays an important role due to its effectiveness in …

Multi-view features are often used in video hashing for near-duplicate video retrieval
because of their mutual assistance and complementarity. However, most methods only …

Cross modal (eg, text-to-image or image-to-text) retrieval has received great attention with
the flushed multi-modal social media data. It is of considerable challenge to stride across the …