Kerneltron : Support Vector "Machine" in Silicon  

Oleh:

Genov, R. ; Cauwenberghs, G.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 5 (2003), page 1426-1434.
Topik: silicon valey; kerneltron; support vector; machine; silicon

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.9 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Detection of complex objects in streaming video poses two fundamental challenges : training from sparse data with proper generalization across variations in the object class and the environment ; and the computational power required of the trained classifier running real - time. The Kerneltron supports the generalization performance of a support vector machine (SVM) and offers the bandwidth and efficiency of a massively parallel architecture. The mixed - signal very large - scale integration (VLSI) processor is dedicated to the most intensive of SVM operations : evaluating a kernel over large numbers of vectors in high dimensions. At the core of the Kerneltron is an internally analog, fine - grain computational array performing externally digital inner - products between an incoming vector and each of the stored support vectors. The three - transistor unit cell in the array combines single - bit dynamic storage, binary multiplication, and zero - latency analog accumulation. Precise digital outputs are obtained through oversampled quantization of the analog array outputs combined with bit - serial unary encoding of the digital inputs. The 256 input, 128 vector Kerneltron measures 3 mm × 3mm in 0.5 µm CMOS, delivers 6.5 GMACS throughput at 5.9 mW power, and attains 8 - bit output resolution.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali