A recently created tissue demonstrative technique, in light of label-free close infrared (NIR) polarimetric reflectance imaging for the characterization of histopathological tests of lung cancer cells, is displayed. The design, calibration, and testing of an automated NIR polarimetric imaging framework, with accentuation on lung cancer location, are advanced in detail. The depicted electro-opti...

This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involving label correlation features is intractable, because the graphical model for this problem is a complete graph. Our solution is to exploit the sparsity of features, and express a model structure for each object by using...

We study multi-label classification (MLC) with three important real-world issues: online updating, label space dimensional reduction (LSDR), and cost-sensitivity. Current MLC algorithms have not been designed to address these three issues simultaneously. In this paper, we propose a novel algorithm, cost-sensitive dynamic principal projection (CS-DPP) that resolves all three issues. The foundati...

In this paper, we demonstrate two subsystems based on Silicon Photonics, towards meeting the network requirements imposed by disaggregation of resources in Data Centers. The first one utilizes a 4 × 4 Silicon photonics switching matrix, employing Mach Zehnder Interferometers (MZIs) with Electro-Optical phase shifters, directly controlled by a high speed Field Programmable Gate Array (FPGA) boar...

The synthesis of collagen can be interrupted, after the assembly of proline-rich and lysine-rich polypeptide chains called protocollagen, by incubating connective tissues anaerobically. Under these conditions the proline and lysine residues in protocollagen are not hydroxylated to hydroxyproline and hydroxylysine, and protocollagen molecules accumulate intracellularly. Chemical data and radioau...

The influence of spin-orbit coupling in two-dimensional systems is investigated within the framework of the Landauer-Büttiker coherent scattering formalism. After a short review of the features of spin-orbit coupling in two-dimensional electron gases, we define the creation and annihilation operators for the stationary states of the Rashba spin-orbit coupling Hamiltonian and use them to calcula...

Mass spectrometry imaging (MSI) is a powerful tool to visualize the spatial distribution of molecules on a tissue section. The main limitation of MALDI-MSI of proteins is the lack of direct identification. Therefore, this study focuses on a MSI~LC-MS/MS-LF workflow to link the results from MALDI-MSI with potential peak identification and label-free quantitation, using only one tissue section. A...

Multiple Instance Multiple Label learning problem has received much attention in machine learning and computer vision literature due to its applications in image classification and object detection. However, the current state-of-the-art solutions to this problem lack scalability and cannot be applied to datasets with a large number of instances and a large number of labels. In this paper we pre...

We investigate an image classification task where training images come along with tags, but only a subset being labeled, and the goal is to predict the class label of test images without tags. This task is important for image search engine on photo sharing websites. In previous studies, it is handled by first training a multiple kernel learning classifier using both image content and tags to sc...

Part I Social Media Content Analysis Quantifying Visual-Representativeness of Social Image Tags Using Image Tag Clarity . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Aixin Sun and Sourav S. Bhowmick Tag-Based Social Image Search: Toward Relevant and Diverse Results . . 25 Kuiyuan Yang, Meng Wang, Xian-Sheng Hua, and Hong-Jiang Zhang Social Image Tag Ranking by Two-View Learning . . ...