Abstract
An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an integrated support vector machine. Dot product based kernels and support vector coefficients are implemented in analog programmable floating gate translinear circuits, and probabilities are propagated and normalized using sub-threshold current-mode circuits. A 14-input, 24-state, and 720-support vector forward decoding
kernel machine is integrated on a 3mm×3mm chip in 0.5μm CMOS technology. Experiments with the processor trained for speaker verification and phoneme sequence estimation demonstrate real-time recognition accuracy at par with floating-point software, at sub-micro watt power.
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Department/Area of interest: ( To list the projects / paper presentations)
Sub-Microwatt Analog VLSI
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dgdgdf455 · 185 weeks ago
Meanwhile, players like Adobtalogue. Gilt and Etsy are two other companies that deploy the similar image-detection tools to find similar items of clothing.
Meanwhile, players like Adobtalogue. Gilt and Etsy are two other companies that deploy the similar image-detection tools to find similar items of clothing.
Meanwhile, players like Adob
fdgfdg · 185 weeks ago
gasoinee · 185 weeks ago