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Stress is a strong modulator of memory function. However, memory is not a unitary process and stress seems to exert different effects depending on the memory type under study. Here, we explored the impact of social stress on different aspects of human memo ...
The capability to learn from experience is a key property for autonomous cognitive systems working in realistic settings. To this end, this paper presents an SVM-based algorithm, capable of learning model representations incrementally while keeping under c ...
In an encoder for encoding symbols of data using a computing device having memory constraints, a method of performing a transformation comprising loading a source block into memory of the computing device, performing an intermediate transformation of less ...
The capability to learn from experience is a key property for autonomous cognitive systems working in realistic settings. To this end, this paper presents an SVM- -based algorithm, capable of learning model representations incrementally while keeping under ...
The present invention exploits the impact ionization induced by drain voltage increase and the onset of a bipolar parasitic in an Omega-gate field effect metal oxide insulator transistor (called PI-MOS), in order to obtain a memory effect and abrupt curren ...
We introduce a new theoretical model of ad hoc mobile computing in which agents have severely restricted memory, highly unpredictable movement and no initial knowledge of the system. Each agent’s memory can store O(1) bits, plus a unique identifier, and O(1 ...
In this paper, we identify transaction-local memory as a major source of overhead from compiler instrumentation in software transactional memory (STM). Transaction-local memory is memory allocated inside a transaction, which cannot escape (i.e., is capture ...
A low power, current-mode memory element for analog discrete time iterative decoders is proposed. In the circuit a high-speed power-down mechanism has been implemented that enables a significant increase of the operation speed without increasing the power ...
The capability to learn from experience is a key property for a visual recognition algorithm working in realistic settings. This paper presents an SVM-based algorithm, capable of learning model representations incrementally while keeping under control memo ...
This paper presents the Weight-Watcher service. This service aims at providing resource consumption measurements and estimations for software executing on resource constrained devices. By using the Weight-Watcher, software components can continuously adapt ...