As a recently proposed technique, sparse representation based classification (SRC) has been
widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear …

Recently the sparse representation (or coding) based classification (SRC) has been successfully
used in face recognition. In SRC, the testing image is represented as a sparse linear …

Cross-entropy loss together with softmax is arguably one of the most common used supervision
components in convolutional neural networks (CNNs). Despite its simplicity, popularity …

Sparse representation based classification has led to interesting image recognition results,
while the dictionary used for sparse coding plays a key role in it. This paper presents a novel …

Face recognition (FR) is an active yet challenging topic in computer vision applications. As
a powerful tool to represent high dimensional data, recently sparse representation based …

p53 and INK4a/ARF mutations promote tumorigenesis and drug resistance, in part, by disabling
apoptosis. We show that primary murine lymphomas also respond to chemotherapy by …

The hereditary breast and ovarian cancer gene, BRCA1, encodes a large polypeptide that
contains the cysteine–rich RING motif, a zinc–binding domain found in a variety of regulatory …

An arbitrary unknown quantum state cannot be measured precisely or replicated perfectly 1 .
However, quantum teleportation enables unknown quantum states to be transferred reliably …

Background MicroRNAs (miRNAs) have been implicated in cancer initiation and progression
via their ability to affect expression of genes and proteins that regulate cell proliferation and/…

We have imaged, in real time, fluorescent tumors growing and metastasizing in live mice. The
whole-body optical imaging system is external and noninvasive. It affords unprecedented …